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@flyingwebie
flyingwebie / twenty-docker-compose.yaml
Last active July 30, 2026 08:14
Host Twenty CRM in your Coolify system
# documentation: https://twenty.com/developers/section/self-hosting
# slogan: Open-source CRM platform for modern teams with customizable workflows and integrations
# tags: crm,productivity,sales,open-source,business
# logo: svgs/twenty.svg
# port: 3000
services:
postgres:
image: 'postgres:16-alpine'
volumes:
@emschwartz
emschwartz / README.md
Last active July 30, 2026 08:04
The Most Popular Blogs of Hacker News in 2025

This is an OPML version of the HN Popularity Contest results for 2025, for importing into RSS feed readers.

Plug: if you want to find content related to your interests from thousands of obscure blogs and noisy sources like HN Newest, check out Scour. It's a free, personalized content feed I work on where you define your interests in your own words and it ranks content based on how closely related it is to those topics.

@MarlonPassos-git
MarlonPassos-git / README.md
Last active July 30, 2026 07:58
grill-me-codex

grill-me-codex

Small Codex skills for better planning with request_user_input.

This is a tiny adaptation of the grill-me workflow for Codex.

The goal is simple: make Codex ask better planning questions before writing code, without forcing you into a heavier workflow like a full spec system.

Why

@aamiaa
aamiaa / CompleteDiscordQuest.md
Last active July 30, 2026 07:58
Complete Recent Discord Quest

Caution

As of April 7th 2026, Discord has expressed their intent to crack down on automating quest completion.

Some users have received the following system message:

image

There isn't much I can do to make the script undetected, so use it at your own risk, as you most likely WILL get flagged by doing so.

Complete Recent Discord Quest

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@techygarg
techygarg / subagent-cost-economy.md
Last active July 30, 2026 07:45
CLAUDE.md rules for subagent delegation: batch sizing, model routing, skill propagation, and avoiding orchestrator context pollution from status polling.

Subagent delegation and cost economy

Principle: Protect the main thread. Optimize for its context economy. Delegate to preserve reasoning quality, not to maximize parallelism.

Context economy (research and lookups)

Reading >~3 files or unfamiliar territory to ground a task? Delegate to an Explore/general-purpose subagent with a tight question. Its reads stay in throwaway context; only the synthesis returns. Direct reads in the main

@sagivo
sagivo / gist:3a4b2f2c7ac6e1b5267c2f1f59ac6c6b
Last active July 30, 2026 07:44
webRTC stun / turn server list
to check if the server works - https://webrtc.github.io/samples/src/content/peerconnection/trickle-ice
stun:
stun.l.google.com:19302,
stun1.l.google.com:19302,
stun2.l.google.com:19302,
stun3.l.google.com:19302,
stun4.l.google.com:19302,
stun.ekiga.net,
stun.ideasip.com,
@VooDisss
VooDisss / README.md
Created March 9, 2026 20:56
llama-server models.ini guide for Qwen3 reranker + embedding + chat models. Fix for Qwen3-Reranker GGUF producing near-zero scores (4.5e-23) with llama.cpp. Covers /v1/rerank endpoint, pooling=rank, cls.output.weight, convert_hf_to_gguf.py proper conversion, models.ini preset reference with all valid keys,

Running Qwen3 Models with llama-server (Embedding + Reranking + Chat)

A practical guide to running multiple Qwen3 models through a single llama-server instance using model routing. Covers embedding, reranking, and chat/vision models.

Tested on Windows with RTX 3090 (24GB VRAM), llama-server build from llama.cpp master branch. Last updated: 2025-03-09.


What you get